Race, ethnicity, and the duration of untreated psychosis: a systematic review
Transcript of Race, ethnicity, and the duration of untreated psychosis: a systematic review
ORIGINAL PAPER
Race, ethnicity, and the duration of untreated psychosis:a systematic review
Kelly K. Anderson • Nina Flora • Suzanne Archie •
Craig Morgan • Kwame McKenzie
Received: 1 February 2013 / Accepted: 23 October 2013
� Springer-Verlag Berlin Heidelberg 2013
Abstract
Purpose An extended duration of untreated psychosis
(DUP) is associated with poor outcome in first-episode
psychosis (FEP). Some have suggested that minority ethnic
groups have longer treatment delays, and this could lead to
worse outcomes. We systematically reviewed the literature
on racial and ethnic differences in DUP in patients with
FEP.
Methods We searched electronic databases and con-
ducted forward and backward tracking to identify studies
that had compared DUP for people with FEP from different
racial or ethnic groups.
Results We identified ten papers that reported on the
association between race or ethnicity and DUP. Overall,
these studies did not find evidence of differences between
groups; however, three of ten studies suggested that Black
patients generally, and Black-African patients specifically,
may have a shorter DUP relative to White patients. There
were methodological limitations in most studies with
respect to ethnicity classification, sample size, and adjust-
ment for potential confounders.
Conclusion Racial and ethnic differences in DUP were
rarely found. This could reflect that DUP does not differ
between groups, or may reflect the methodological limi-
tations of prior research. Studies that are designed and
powered to examine these differences in treatment delay
are needed to determine whether there are differences in
DUP for minority groups.
Keywords First-episode psychosis � Duration of
untreated psychosis � Ethnicity � Race � Treatment
delay � Early intervention
Background
An extended period from the onset of psychotic symptoms
to the initiation of treatment is associated with poor out-
comes in first-episode psychosis (FEP), as measured by
remission of symptoms, levels of subsequent functioning,
and quality of life [1–3]. This period has been termed the
duration of untreated psychosis (DUP), and is considered to
be a potentially modifiable predictor of prognosis in FEP
and a target for secondary prevention. A comprehensive
understanding of the factors that determine and moderate
DUP could help to inform the development of more
effective services. A review by Compton and Broussard [4]
discusses the myriad of factors that may operate at different
levels to influence DUP, and they classify these factors as
demographic, pre-morbid and onset-related, illness-related,
family-level, societal, and health services/system-level
factors. The evidence base for many of the potential
determinants of DUP is scant or inconclusive.
K. K. Anderson (&) � N. Flora � K. McKenzie
Social and Epidemiological Research, Centre for Addiction and
Mental Health (CAMH), 455 Spadina Avenue, Suite 300,
Toronto, ON M5S 2G8, Canada
e-mail: [email protected]
S. Archie
Department of Psychiatry and Behavioural Neurosciences,
McMaster University, 25 Charlton Avenue East, Suite 703,
Hamilton, ON L8N 1Y2, Canada
C. Morgan
Section of Social Psychiatry, Institute of Psychiatry, King’s
College London, De Crespigny Park, London SE5 8AF, UK
K. McKenzie
Department of Psychiatry, University of Toronto, 455 Spadina
Avenue, Suite 300, Toronto, ON M5S 2G8, Canada
123
Soc Psychiatry Psychiatr Epidemiol
DOI 10.1007/s00127-013-0786-8
The race and ethnicity of a person are examples of
demographic factors that have the potential to impact the
DUP. There is a considerable literature on the utility of
race and ethnicity as concepts [5, 6]. Race typically refers
to physical features, such as skin color or hair texture,
which may reflect a person’s ancestry, and examples of
categories that are commonly used to describe race include
White, Black, or Asian. Ethnicity is a complex term used to
describe perceived social groupings based on a sense of
belonging, place of origin, and other factors such as lan-
guage, religion, and sometimes race [7]. For example,
descriptors that might be used to classify ethnicity include
Black-Caribbean, Black-African, White-European, or
White-Canadian. Both racial and ethnic categorizations
have been used in comparative research between minority
and majority groups. Racial and ethnic groupings are not
mutually exclusive, and in the social world they may map
onto each other. They both may have an impact on DUP
because as variables they capture shared socio-cultural
factors that have an effect on access to care. However,
because they are different concepts there may be differ-
ences in the mechanism through which they are associated
with DUP. Because of this, we have investigated both
categories and we will distinguish between the concepts
where it is important and relevant to do so.
Numerous barriers to mental health care have been
reported for different ethnic and racial groups, and the
reasons for these are numerous and varied. Different
groups may hold different beliefs about the cause of psy-
chotic symptoms, their perceived severity, and the most
appropriate course of action [8, 9]. Language barriers or a
lack of information regarding the availability of services
and how to access them may influence an individual’s
decision to seek help [10]. There may be differences in the
degree or type of stigma in different communities [11].
Finally, there may be differences in the accessibility of
services to different groups because of the cost, the loca-
tion of services, the use of models that are not considered
appropriate by some groups, or the perception that services
are not culturally competent or trustworthy [12].
As a result of these barriers to care, some groups may
take alternative routes to accessing services, and differ-
ences in pathways to care for psychotic disorders have been
documented between groups [13]. The majority of prior
research in this area has focused on people of African or
Caribbean origin in high-income countries, and has
reported that these groups were more likely than the
majority ethnic group to access care through involuntary
hospitalizations and the criminal justice system, and less
likely to have general practitioner (GP) involvement on the
pathway to care [14].
Both barriers to care and differences in pathways to care
could lead to differences in DUP. It is often assumed that
these barriers to care result in minority groups with FEP
having a longer DUP [15]. However, given the multi-fac-
eted nature of the pathways to care [16], it is not imme-
diately clear what the impact of race or ethnicity will be.
There is currently no consensus on whether or how race
and ethnicity have an impact on DUP. Despite the large
body of research on various factors associated with DUP
[4], there has been no systematic review or meta-analysis
of the social determinants of DUP, with the exception of
gender [17].
The aim of this study was to systematically review the
literature on ethnic and racial differences in DUP among
patients with first-episode psychosis. Because DUP is
affected by the availability and accessibility of services
within a given health system, and there are differences in
service provision between low-, middle-, and high-income
countries, we restricted this review to research conducted
in high-income countries to help ensure comparability
across the studies.
Methods
Systematic review
We conducted an electronic search of the MEDLINE
(1950–2012), HealthStar (1966–2012), EMBASE
(1980–2012), and PsycINFO (1967–2012) databases using
the OvidSP platform, and we also searched Web of
Knowledge. The MEDLINE and HealthStar search terms
are presented in ‘‘Appendix’’, and this strategy was adapted
for EMBASE and PsycINFO using analogous terms rele-
vant to these databases. The Web of Knowledge was
searched using key words. The search strategy was devel-
oped in consultation with a librarian.
We obtained further studies by manually searching
personal files and the bibliographies of all relevant studies
and review articles. We performed forward citation
searching using Web of Knowledge to locate all articles
that had cited the included studies. When abstracts or
unpublished studies were retrieved in our search, we con-
tacted the corresponding authors to determine whether the
work had subsequently been published in a peer-reviewed
journal. We regularly updated all segments of the literature
search, with the final update in September 2012.
Each study was reviewed for the following inclusion
criteria: (a) the study measured DUP among individuals
with FEP; (b) the article reported DUP by race or ethnic
group, or used race or ethnicity as a covariate in the
analyses; (c) the study was conducted in a high-income
country [18]; (d) the findings were published in a peer-
reviewed journal. We did not impose any restrictions with
respect to date or language of publication.
Soc Psychiatry Psychiatr Epidemiol
123
For all included papers, two independent reviewers
extracted data on key elements of study design, the defi-
nition and measurement of DUP, the methods used for
assigning race or ethnicity, and measures of the central
tendency and dispersion of DUP by racial or ethnic group.
All papers were assigned a quality assessment score using a
rating scale based on a tool used in previously published
systematic reviews on ethnic differences in pathways to
care (Table 1) [13, 19]. Discrepancies between the
reviewers were resolved by consensus. Where important
methodological details were missing from the paper, such
as the definition of DUP or the methods used for assigning
race or ethnicity, we consulted other studies from the same
research group and patient sample, where available, to
obtain the missing information. However, the quality
assessment ratings were done solely based on information
contained within the included paper. Authors were con-
tacted for further information or clarification when the data
were aggregated or unclear.
Meta-analysis
For all studies identified in the systematic review, we
contacted the corresponding author to obtain log-trans-
formed means and standard deviations for DUP. These
were needed due to the positively skewed distribution of
DUP, and studies were excluded from the meta-analysis if
the authors were unable to provide these data.
For all studies for which we had log-transformed data,
we calculated the standardized mean difference (SMD)
with 95 % confidence intervals (CI) using Cohen’s d for
each racial or ethnic subgroup, relative to the majority
racial or ethnic group. We meta-analyzed these effect
estimates using the metan procedure in Stata 11.0. There
was an insufficient number of papers to compare most of
the racial or ethnic variables. Therefore, we restricted the
analysis to data comparing the two groups most commonly
investigated, specifically a Black grouping, made up of
African or Caribbean origin populations, and an Asian
grouping. These were compared to a White grouping rep-
resenting the majority racial group. One of the studies
presented data separately for Black-African and Black-
Caribbean patients [15], and another divided the samples
by first-generation Black-African and Black-Caribbean
groups and second-generation Black-British groups [20];
therefore, we pooled these estimates by calculating
weighted means and standard deviations to allow compa-
rability with other studies. Two studies also divided the
White sample by native-born individuals and immigrants
[20, 21], and these groups were also pooled for the meta-
analysis. There were insufficient data available for a meta-
analysis of estimates for other racial groups, or for disag-
gregated racial or ethnic groups.
Statistical heterogeneity was assessed using the I2 sta-
tistic, with values of 25, 50, and 75 % suggestive of low,
moderate, and high heterogeneity, respectively [22]. There
was a high likelihood of methodological and contextual
heterogeneity due to the different definitions used for DUP,
race and ethnicity, as well as the different health service
contexts of each of the studies; therefore, we opted to use a
random effects model to compute a summary effect size
Table 1 Rating system for methodological quality (adapted from
Bhui et al. [13] and Sass et al. [19])
Legend Description
Adequacy of sample size
- No power calculation or inadequate sample to detect racial
or ethnic differences
? Authors demonstrate that the sample was powered to detect
racial or ethnic differences
Definition of the first episode of psychosis
- Not described
• Based on first hospitalization
? Based on duration of antipsychotic treatment or first
presentation to a clinical setting
Adjustment for confounding variables
- None
• Age and/or gender
? Other co-morbidities or risk factors for the outcome of
interesta (see below)
Quality of race or ethnicity measurement
- Not reported
• Third party report (e.g., staff categorization, name-based
method)
? Self-reported race or ethnicity
Use of race or ethnicity in the analysis
- Ethnic groups dichotomized (e.g., white vs. others)
• Reasonable groupings by race
? All analyses done on specific ethnic groups without
amalgamation
Definition of DUP
- Definition of DUP unclear (e.g., no description of start/end
point)
? Clear definition of DUP
Measurement of DUP
- Not described/non-systematic method used for dating DUP
? Use of a standardized measurement tool for dating DUP
Source of data on DUP
- Not described/chart review or third party report only
• Patient report only
? Patient report corroborated with chart review or third party
information
-, Criteria not met; •, Criteria partially met; ?, Criteria satisfieda Risk factors include socio-economic factors (SES, employment,
household size, marital status); Co-morbidities include drug and
alcohol use, coexisting psychiatric conditions, violence to others
Soc Psychiatry Psychiatr Epidemiol
123
[23]. The source of the heterogeneity was explored using a
meta-regression model [24]. The study characteristics that
were used as predictor variables in the model included
country of origin, as well as quality assessment ratings for
the method of defining the first episode of psychosis, the
measurement of race or ethnicity, and the tool used for
measuring and defining the DUP (Table 1).
Results
The electronic database search retrieved 527 studies, of
which 38 were potentially relevant for this review. We
identified an additional 12 papers from personal files and
the manual search, for a total of 50 full-text articles
reviewed for inclusion. We excluded 40 studies for the
following reasons (not mutually exclusive): not a FEP
population (n = 5); review article, case report, or research
letter (n = 5); DUP was not measured (n = 9); race and
ethnicity were not measured (n = 6); no comparison group
(n = 10); study was conducted in a low- or middle-income
country (n = 4); the study reported duplicate data from
samples that were already included in the review (n = 7).
As a post hoc exclusion, we removed a multi-site clinical
trial from the review [25] because the endpoint for DUP for
a large proportion of patients was entry into the clinical
trial, which is substantially different from the other studies
which measured the time to antipsychotic prescription or
first contact with services. In total, ten studies met the
inclusion criteria for our review, and the authors of seven
of these studies provided the required data for inclusion in
the meta-analysis (Fig. 1).
Study characteristics
The characteristics and findings of included studies are
summarized in Tables 2 and 3, and the quality assessment
ratings for study methodology are presented in Table 4.
The studies primarily used observational designs and were
conducted in Canada, England, New Zealand, Singapore,
or the USA. The size of the study samples varied sub-
stantially, ranging from 55 to 535 participants (median
across studies = 256). Approximately, half of the studies
(n = 5) restricted their samples to non-affective psychoses.
The first episode of psychosis was defined based on the use
of antipsychotic medication in four studies, first contact
with services in three studies, and first inpatient admission
in three studies (Table 2).
Most studies (n = 6) used a standardized instrument for
measuring DUP, and nearly all (n = 9) used multiple data
sources to corroborate information. The studies used sim-
ilar starting points for measuring DUP, specifically the
Full-text version retrieved for more detailed evaluation (n = 50)
Studies meeting the inclusion criteria (n = 10)
Unique citations screened for relevancy (n = 527)
Studies excluded (n = 489)
Studies excluded from review, with reasons (n = 40)*- Not a first-episode population (n=5)- Review article/case report/letter (n=5)- DUP not measured (n=9)- No ethnicity (n=6)- No comparison group (n=10)- Low-income country (n=4)- Clinical trial (n=1)- Duplicate data (n=7)
Forward and backward citation searching
(n = 8)
Review of personal files (n = 4)
Medline and HealthStar Search
(n = 205)
Studies excluded from meta-analysis (n = 3)- Required data not available from
authors (n=3)
Data available for meta-analysis (n = 7)
EMBASE Search
(n = 225)
PsycINFO Search
(n = 86)
Web of Knowledge Search
(n = 233)
Fig. 1 Flow chart of the search
strategy and exclusion process
for the systematic review
Soc Psychiatry Psychiatr Epidemiol
123
Ta
ble
2C
har
acte
rist
ics
of
stu
die
sin
clu
ded
inth
esy
stem
atic
rev
iew
(n=
10
)
Stu
dy
nS
ou
rce
of
sam
ple
So
urc
eo
fd
ata
Dia
gn
ost
iccr
iter
ia(t
oo
l)N
on
-aff
ecti
ve
(%)
Defi
nit
ion
of
firs
t-ep
iso
de
psy
cho
sis
Can
ada
Arc
hie
etal
.[2
7]
19
3(w
ith
DU
P)
EI
pro
gra
ms
acro
ssfo
ur
site
sM
edic
alre
cord
sD
SM
-IV
(SC
ID)
10
0P
sych
oti
csy
mp
tom
sin
a
pat
ien
tw
ho
had
rece
ived
less
than
1m
on
tho
fp
rio
r
anti
psy
cho
tic
trea
tmen
t
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Cli
nic
ian
inte
rvie
w
van
der
Ven
etal
.
[21
]
27
6(w
ith
DU
P)
EI
pro
gra
mM
edic
alre
cord
saD
SM
-IV
(SC
ID)
74
Psy
cho
tic
sym
pto
ms
ina
pat
ien
tw
ho
had
rece
ived
less
than
1m
on
tho
fp
rio
r
anti
psy
cho
tic
trea
tmen
t
Pat
ien
tin
terv
iew
a
Fam
ily
inte
rvie
wa
Cli
nic
ian
inte
rvie
wa
En
gla
nd
Bru
net
etal
.[3
1]
55
Men
tal
hea
lth
serv
ices
Med
ical
reco
rds
ICD
-10
(WH
OC
hec
kli
st)
10
0N
ewre
ferr
als
tom
enta
lh
ealt
h
serv
ices
for
ap
sych
oti
c
dis
ord
er
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Dra
ke
[28]
24
8D
ay-
and
inp
atie
nt-
un
it
adm
issi
on
sfr
om
defi
ned
catc
hm
ent
area
Med
ical
reco
rds
DS
M-I
V(c
lin
ical
dia
gn
osi
s)1
00
Fir
sto
rse
con
dad
mis
sio
n
(wit
hin
2y
ears
of
firs
t
adm
issi
on
)to
day
-o
r
inp
atie
nt-
un
itfo
rp
sych
osi
sc
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Cli
nic
ian
inte
rvie
w
Gh
ali
etal
.2
01
3
[20
]
53
5(w
ith
DU
P)
EI
serv
ices
acro
ssei
gh
tsi
tes
Pat
ien
tin
terv
iew
No
td
escr
ibed
No
td
escr
ibed
Fir
stp
rese
nta
tio
nto
psy
chia
tric
serv
ices
for
affe
ctiv
eo
rn
on
-
affe
ctiv
ep
sych
osi
s
Med
ical
reco
rds
Co
llat
eral
his
tory
Mo
rgan
etal
.
20
06
[15]
41
4C
ases
fro
mse
con
dar
yo
r
tert
iary
serv
ices
inca
tch
men
t
area
Med
ical
reco
rds
ICD
-10
(SC
AN
)7
3P
atie
nts
pre
sen
tin
gto
serv
ices
for
the
firs
tti
me
wit
han
ICD
-
10
dia
gn
osi
so
fp
sych
osi
sd
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Soc Psychiatry Psychiatr Epidemiol
123
Ta
ble
2co
nti
nu
ed
Stu
dy
nS
ou
rce
of
sam
ple
So
urc
eo
fd
ata
Dia
gn
ost
iccr
iter
ia(t
oo
l)N
on
-aff
ecti
ve
(%)
Defi
nit
ion
of
firs
t-ep
iso
de
psy
cho
sis
New
Zea
lan
d
Tu
rner
etal
.[3
0]
18
2E
Ip
rog
ram
Pat
ien
tin
terv
iew
eD
SM
-IV
(cli
nic
alD
iag
no
sis)
64
Fir
stp
rese
nta
tio
no
fp
sych
osi
s
wit
hle
ssth
an1
2w
eek
so
f
pri
or
anti
psy
cho
tic
trea
tmen
t
Fam
ily
inte
rvie
we
Sin
gap
ore
Pek
etal
.[2
6]
33
4E
Ip
rog
ram
Med
ical
reco
rds
DS
M-I
V(S
CID
)9
0F
irst
pre
sen
tati
on
of
psy
cho
sis
wit
hle
ssth
an1
wee
ko
fp
rio
r
anti
psy
cho
tic
trea
tmen
t
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
US
A
Co
mp
ton
etal
.
[32
]
26
4(f
rom
auth
or)
Th
ree
inp
atie
nt
psy
chia
tric
un
its
Med
ical
reco
rds
DS
M-I
V(S
CID
)1
00
Psy
cho
tic
sym
pto
ms
inp
atie
nts
wit
hn
op
rio
rh
osp
ital
izat
ion
for
psy
cho
sis
and
less
than
3m
on
ths
of
anti
psy
cho
tic
trea
tmen
t
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Haa
set
al.
[29]
10
3In
pat
ien
tad
mis
sio
nM
edic
alre
cord
sD
SM
-III
-R(S
CID
)1
00
Dia
gn
osi
so
fsc
hiz
op
hre
nia
-
spec
tru
mp
sych
osi
sw
ith
no
pri
or
his
tory
of
adm
issi
on
for
ap
sych
oti
cd
iso
rder
f
Pat
ien
tin
terv
iew
Fam
ily
inte
rvie
w
Cli
nic
ian
inte
rvie
w
DU
Pd
ura
tio
no
fu
ntr
eate
dp
sych
osi
s,E
Iea
rly
inte
rven
tio
n,
DS
Md
iag
no
stic
and
stat
isti
cal
men
uo
fm
enta
ld
iso
rder
s,S
CID
stru
ctu
red
clin
ical
inte
rvie
wfo
rD
SM
,IC
DIn
tern
atio
nal
Cla
ssifi
cati
on
of
Dis
ease
s;W
HO
Wo
rld
Hea
lth
Org
aniz
atio
n;
SC
AN
sch
edu
les
for
clin
ical
asse
ssm
ent
inn
euro
psy
chia
try
aA
sp
erp
rio
rp
aper
[39]
bA
sp
erp
rio
rp
aper
[46]
cA
sp
erp
rio
rp
aper
[47]
dA
sp
ersu
bse
qu
ent
pap
er[4
8]
eA
sp
ersu
bse
qu
ent
pap
er[4
9]
fA
sp
erp
rio
rp
aper
[50]
Soc Psychiatry Psychiatr Epidemiol
123
Ta
ble
3F
ind
ing
so
nd
ura
tio
no
fu
ntr
eate
dp
sych
osi
san
dra
cial
/eth
nic
gro
up
for
stu
die
sin
clu
ded
inth
esy
stem
atic
rev
iew
(n=
10
)
Stu
dy
Sta
rtpoin
tfo
rD
UP
End
poin
tfo
rD
UP
DU
Pto
ol
Rac
e/et
hnic
ity
mea
sure
men
tR
ace/
ethnic
ity
cate
gori
esD
UP
(wee
ks)
nM
edia
nIQ
R
Can
ada
Arc
hie
etal
.[2
7]
On
set
of
psy
cho
sis
Ear
lier
of
dat
eo
fin
itia
tio
no
fan
tip
sych
oti
cm
edic
atio
nfo
rat
leas
t1
mon
th,
or
dat
eo
fen
try
toE
Ise
rvic
es
CO
RS
Sel
f-re
port
Wh
iteb
11
82
23
–5
2
Bla
ckb
30
31
3–
57
Asi
anb
25
29
7–
63
Oth
erb
20
20
3–
66
van
der
Ven
etal
.[2
1]
On
set
of
psy
cho
tic
sym
pto
msa
Init
iati
on
of
anti
psy
cho
tic
trea
tmen
taC
OR
SS
taff
assi
gn
edb
ased
on
pla
ceo
fo
rig
inW
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ican
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ibb
ean
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anb
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tral
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uth
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dle
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t/N
ort
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8–
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Eu
ropea
n/N
ort
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ican
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1
En
gla
nd
Bru
net
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.[3
1]
On
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the
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,o
ra
clu
ster
of
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pto
ms
tota
lin
gC
7,
for
lon
ger
than
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eek
s
An
tip
sych
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ctr
eatm
ent
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com
men
ded
do
sage
lev
els
for
1m
on
th,
or
lead
ing
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uct
ion
Pat
hw
ays
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coun
ter
Fo
rmN
ot
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crib
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/AN
/A
Bla
ck3
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uth
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an2
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ed4
Dra
ke
[28]
On
set
of
del
usi
on
san
dh
allu
cin
atio
ns
No
td
escr
ibed
Ad
-Ho
cA
lgori
thm
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f-R
epo
rtb
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iteb
21
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Afr
ican
-Car
ibb
ean
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erb
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ali
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.[2
0]
On
esy
mp
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from
the
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siti
ve
scal
eo
fth
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SS
C4
(1)
Init
iati
on
of
regu
lar
anti
psy
cho
tic
trea
tmen
tw
ith
adh
eren
ceo
fat
leas
t7
5%
for
1m
on
th(u
sed
inm
eta-
anal
ysi
s)
(2)
Dat
eo
fre
ferr
alto
earl
yin
terv
enti
on
serv
ices
NO
SS
taff
assi
gned
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e-B
riti
sh134
16
49
Wh
ite-
oth
er8
41
02
8
Bla
ck-B
riti
sh1
26
14
26
Bla
ck-C
arib
bea
n2
18
34
Soc Psychiatry Psychiatr Epidemiol
123
Ta
ble
3co
nti
nu
ed
Stu
dy
Sta
rtpoin
tfo
rD
UP
End
poin
tfo
rD
UP
DU
Pto
ol
Rac
e/et
hnic
ity
mea
sure
men
tR
ace/
ethnic
ity
cate
gori
esD
UP
(wee
ks)
nM
edia
nIQ
R
Bla
ck-A
fric
an1
10
82
2
So
uth
Asi
an6
09
23
Mo
rgan
etal
.[1
5]
Pre
sen
ceo
fp
osi
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ep
sych
oti
csy
mp
tom
sfo
rat
leas
t1
wee
k
Conta
ctw
ith
seco
ndar
ym
enta
lh
ealt
hse
rvic
esP
PH
SS
elf-
rep
ort
staf
fas
sig
ned
Whit
e-B
riti
shb
21
78
2–
39
Afr
ican
-Car
ibb
ean
b1
29
12
4–
77
Bla
ck-A
fric
anb
68
81
–2
1
New
Zea
land
Tu
rner
etal
.[3
0]
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ep
osi
tiv
esc
ale
sym
pto
mo
nth
eP
AN
SS
C4
Init
iati
on
of
anti
psy
cho
tic
trea
tmen
tN
ot
des
crib
edN
ot
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crib
edN
on
-Ab
ori
gin
alb
13
54
1–
17
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ori
gin
al(M
aori
)b2
49
2–
35
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gap
ore
Pek
etal
.[2
6]
On
set
of
del
usi
on
s,h
allu
cin
atio
ns,
thou
gh
td
iso
rder
,o
rdis
org
aniz
edbeh
avio
r
Est
abli
shm
ent
of
defi
nit
ive
dia
gn
osi
san
dtr
eatm
ent
Not
des
crib
edN
ot
des
crib
edC
hin
ese
245
N/A
N/A
Mal
ay6
4
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ian
18
Oth
ers
7
US
A
Com
pto
net
al.
[32
]O
nse
to
fp
osi
tiv
ep
sych
oti
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mp
tom
sF
irst
ho
spit
alad
mis
sio
nC
OR
SS
OS
No
td
escr
ibed
Wh
iteb
21
20
3–
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ckb
24
33
17
–1
19
Haa
set
al.
[29]
On
set
of
psy
cho
tic
sym
pto
ms
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stad
min
istr
atio
no
fan
tip
sych
oti
cm
edic
atio
n
No
tD
escr
ibed
No
td
escr
ibed
Wh
ite
68
N/A
N/A
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ck2
4
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an4
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pan
ic4
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er3
N/A
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an
ot
avai
lab
le,
DU
Pd
ura
tio
no
fu
ntr
eate
dp
sych
osi
s,IQ
Rin
terq
uar
tile
rang
e,E
Iea
rly
inte
rven
tio
n,
CO
RS
circ
um
stan
ces
of
on
set
or
rela
pse
sch
edu
le,
PA
NS
SP
osi
tiv
ean
dN
egat
ive
Sy
nd
rom
eS
cale
,N
OS
No
ttin
gh
amO
nse
tS
ched
ule
,P
PH
SP
sych
iatr
ican
dP
erso
nal
His
tory
Sch
edu
le,
SO
SS
ym
pto
mO
nse
tin
Sch
izo
phre
nia
Inv
ento
rya
As
per
pri
or
pap
er[3
9]
bD
ata
obta
ined
from
corr
espondin
gau
thor
Soc Psychiatry Psychiatr Epidemiol
123
onset of positive psychotic symptoms. However, the end-
points for DUP varied across the studies, with the majority
(n = 7) using the initiation of adequate antipsychotic
treatment as the end of DUP (Table 3). One study mea-
sured two different end-points for DUP, specifically the
initiation of antipsychotic treatment and entry into early
intervention services, to assess the impact of this definition
on observed estimates [20].
Few studies (n = 5) reported how race or ethnicity was
measured, and among those who did, three used a measure
involving self-report. Only three studies performed analy-
ses on specific ethnic groups without amalgamation by race
[15, 20, 26], and two distinguished between the first- and
second-generation immigrant populations of African,
Caribbean, or European origin [20, 21]. The classifications
of race and ethnicity that were used in each of the studies
are shown in Table 3.
None of the included studies met all of our criteria for
methodological quality (Table 4). The most common
problems across the studies were as follows: not using a
self-report measure for race or ethnicity, or not describing
how it was measured (n = 8); lumping different ethnic
groups together by race (n = 7); and lack of adjustment for
potential confounding (n = 8). None of the studies dem-
onstrated that the sample size was adequate for detecting
racial or ethnic differences in DUP (Table 4).
Racial and ethnic differences in DUP
Only two studies included in our review explicitly stated
that the primary objective was to examine racial or ethnic
differences in DUP [15, 20]. The objective of the remain-
ing studies was to look at differences between groups in
symptomatology [21] or pathways to care [27], to examine
other determinants of DUP [26], to look at the association
between DUP and clinical outcomes [28, 29], or to describe
pathways to care generally [30]. The two remaining studies
did not present data on DUP for different groups, but rather
used these variables as a covariate when examining other
determinants of the DUP [31, 32]. Given that most studies
were not designed to examine racial or differences in DUP,
it is not surprising that none of the studies demonstrated
that they had achieved an adequate sample size to achieve
this objective.
Only three studies found evidence of racial or ethnic
differences in DUP. Haas and colleagues dichotomized
DUP and found that a greater proportion of Black-Ameri-
can patients had a DUP of less than 1 year, whereas a
greater proportion of Asian-American patients had a delay
of 1 year or longer. There were no differences observed for
White, Hispanic, or Other racial groups [29]. Morgan and
colleagues [15] found that patients of Black-African origin
had a significantly shorter DUP compared with both White-
British and Black-Caribbean patients. Similarly, Ghali and
colleagues [20] found that White-British patients had a
significantly longer DUP when compared with Black-
African patients, but the differences for Black-Caribbean
patients did not reach statistical significance, possibly
owing to the much smaller sample size. The second-gen-
eration immigrant Black group, and the first-generation
immigrant White group, also had a shorter DUP than the
White-British group when entry into early intervention
services was used as the endpoint, but not when the initi-
ation of antipsychotic medication was the endpoint for
DUP [20]. In contrast to Haas and colleagues, Ghali and
colleagues [20] found that patients of South Asian origin
had a shorter DUP, compared with the White-British group.
Interestingly, some of these differences in DUP between
the ethnic groups were attenuated once differences in the
pathway to care were accounted for. The remaining studies
Table 4 Quality assessment ratings for studies included in the systematic review (n = 10)
Adequacy of
sample size
Definition
of FEP
Adjustment for
confounding
Race/ethnicity
measurement
Race/ethnicity
categories
Definition
of DUP
Measurement
of DUP
DUP data
source
Archie et al. [27] - ? - ? • ? ? ?
Brunet et al. [31] - ? - - • ? ? ?
Compton et al. [32] - ? - - • ? ? ?
Drake [28] - - - - • - - ?
Ghali et al. [20] - ? ? • ? ? ? ?
Haas et al. [29] - - - - • ? - ?
Morgan et al. [15] - - ? ? ? ? ? ?
Pek et al. [26] - ? - - ? ? - ?
Turner et al. [30] - ? - - - ? - -
van der Ven et al. [21] - ? - • • - ? ?
Ratings are based solely on the information contained within the included article. See Table 1 for scoring criteria
-, Criteria not met; •, Criteria partially met; ?, Criteria satisfied
Soc Psychiatry Psychiatr Epidemiol
123
did not find a statistically significant association between
race and DUP [21, 26–28, 30–32].
Meta-analysis
Our meta-analysis computing an overall effect of Black
and Asian groups relative to White did not show evidence
of differences in DUP between these groups (Fig. 2). The
pooled SMD in DUP for Black patients was 0.01 (95 %
CI = -0.16, 0.18). The pooled SMD in DUP was 0.00
(95 % CI = -0.38, 0.37) for Asian patients. There was
evidence of moderate heterogeneity in these data (Black
I2 = 46.3 %; Asian I2 = 66.6 %), and the source of this
was explored using meta-regression techniques; however,
none of the study-level variables included in our models
was a significant source of heterogeneity (data not shown).
Discussion
Main findings
Our systematic review of the literature found little evidence
to support the belief that particular racial or ethnic groups
have a longer DUP at the first episode of psychosis, as only
three of ten studies reported differences across groups. The
relatively small number of studies that examined such
differences in DUP, as well as the methodological limita-
tions of available studies, makes it difficult to draw firm
conclusions. The three studies that did report differences
suggest that in high-income countries, Black patients
generally [29], and Black-African patients in particular [15,
20], may have shorter treatment delays relative to White
patients. The two studies that found significant differences
in DUP for Asian patients compared to White patients had
conflicting findings [20, 29].
The evidence for many of the social determinants of
DUP is scant or inconclusive [4]. The determinants of DUP
operate at many levels, including the individual and their
family, as well as the larger cultural, societal, and health
service context. Both race and ethnicity are complex con-
structs, and the interplay between the determinants of DUP
and these variables is likely to be similarly convoluted. A
person’s racial or ethnic identity may have different inter-
actions with both barriers and pathways to care. Given this,
and the possibility that the various interactions may either
increase or decrease the DUP, it may not be surprising that
most studies report no differences between groups.
With few exceptions, the studies included in our review
assessed racial differences in treatment delay, with little
consideration of ethnicity, culture, or immigration status.
The utility of race as a research variable has been ques-
tioned, in part due to the significant heterogeneity of people
within each category. The articles by Ghali, Morgan, Pek
[15, 20, 26], and their respective colleagues were the only
studies to analyze differences in DUP with no amalgama-
tion of ethnic groups into racial groups. It is noteworthy
that the two studies that disaggregated the Black group by
NOTE: Weights are from random effects analysis
.
.
Black vs. White
Archie et al.
Drake et al.
Ghali et al.
Morgan et al.
van der Ven et al.
Compton et al.
Subtotal (I-squared = 46.3%, p = 0.097)
Asian vs. White
Archie et al.
Ghali et al.
van der Ven et al.
Subtotal (I-squared = 66.6%, p = 0.050)
Study
2010
2000
2013
2006
2012
2008
2010
2013
2012
Year
Canada
England
England
England
Canada
United States
Canada
England
Canada
Country
0.23 (-0.17, 0.63)
-0.12 (-0.59, 0.35)
-0.22 (-0.40, -0.04)
0.08 (-0.12, 0.27)
-0.02 (-0.38, 0.34)
0.30 (-0.14, 0.75)
0.01 (-0.16, 0.18)
0.26 (-0.18, 0.69)
-0.32 (-0.60, -0.03)
0.14 (-0.28, 0.56)
-0.00 (-0.38, 0.37)
SMD (95% CI)
12.26
9.81
27.11
26.02
14.26
10.55
100.00
30.18
38.87
30.95
100.00
Weight
%
0.23 (-0.17, 0.63)
-0.12 (-0.59, 0.35)
-0.22 (-0.40, -0.04)
0.08 (-0.12, 0.27)
-0.02 (-0.38, 0.34)
0.30 (-0.14, 0.75)
0.01 (-0.16, 0.18)
0.26 (-0.18, 0.69)
-0.32 (-0.60, -0.03)
0.14 (-0.28, 0.56)
-0.00 (-0.38, 0.37)
SMD (95% CI)
9.81
27.11
26.02
14.26
10.55
100.00
30.18
38.87
30.95
100.00
Weight
%
Shorter DUP Longer DUP 0-1 1
Fig. 2 Meta-analysis of the log-transformed standardized mean difference (SMD) in duration of untreated psychosis for Black and Asian racial
groups relative to White
Soc Psychiatry Psychiatr Epidemiol
123
ethnicity found that patients of African origin specifically
tended to have a shorter DUP [15, 20]. Lumping African
origin and Caribbean origin groups together as Black, as
we did in the meta-analysis, may mask significant differ-
ences in DUP between these groups. A lack of dis-aggre-
gation of racial groups was common across the included
studies, which could have led to a similar cancellation of
effects. Given this, the results we present for the meta-
analysis of racial differences in DUP should be interpreted
with caution.
The tests for the meta-analysis found evidence of mod-
erate heterogeneity among the studies, which indicates that
these data arise from different populations and difficulties
may arise from pooling these samples. Additional hetero-
geneity within the groups could arise from the role that
immigration status plays. First-generation immigrants with
FEP in the Netherlands have a significantly longer DUP
than second-generation or native-born individuals [33].
This could reflect many factors such as differences in
knowledge of local availability of services, a reluctance to
seek help from mainstream services, or language barriers.
However, most studies did not report whether their groups
were immigrants and whether they were first- or second-
generation. Of exception, Ghali and colleagues did report
DUP estimates separately for first-generation White immi-
grants and White-British people, and also for first-genera-
tion African and Caribbean people and second-generation
Black-British people. Although the impact of immigration
status was not formally tested, there does appear to be a
trend for the second-generation of both groups to have a
longer DUP than the first-generation immigrants [20],
which is in contrast to the findings from the Netherlands
[33]. Additional studies are needed to elucidate the role of
immigration status on treatment delay in FEP.
A further limitation to the studies included in our review
is that all studies, with the exception of two [15, 20], used
simple univariate analyses to examine the association
between racial or ethnic groups and DUP, and did not
adjust the effect estimates for potential confounding fac-
tors. Although much of the prior literature on the deter-
minants of treatment delay have been inconclusive, several
factors are consistently found to be associated with DUP,
including age of onset, premorbid functioning, mode of
onset of psychosis, negative symptoms, social functioning,
insight, and a diagnosis of non-affective psychosis [4].
Indicators of the pathway to care have also been shown to
be associated with treatment delay [20, 34]. If these factors
are also associated with a person’s racial or ethnic back-
ground, a failure to adjust for their confounding effects
using multivariate models will obscure the true association
between race or ethnicity and DUP. There is some evi-
dence to suggest that there may be racial and ethnic dif-
ferences in the clinical presentation of first-episode
psychosis [21, 35] and the pathway to care [14], as well as
differences in social factors [36, 37], suggesting that a
rigorous analysis of the association between race or eth-
nicity and DUP should account for these and other poten-
tially confounding variables.
The limited sample size of most included studies, the
problems with group definition, and the heterogeneity of the
samples are key limitations in the available literature.
However, there also needs to be some attention given to how
DUP is defined and operationalized. Ghali and colleagues
[20] reported differences in the observed association
between ethnicity and DUP when admission to early inter-
vention services was used as the endpoint of DUP, rather
than the initiation of antipsychotic medication. Additionally,
delay in treatment has been conceptualized by others as
consisting of two phases; a help-seeking phase, which is the
period between symptom onset and first contact with health
services, and a referral phase, which consists of the time
between first contact and referral to an appropriate treatment
program for first-episode psychosis [31, 38, 39]. There may
be independent associations between group membership and
each of these phases. For instance, patients of African and
Caribbean origin are more likely to come into contact with
police and emergency services on their pathways to care
[14]. These groups may be reluctant to seek help initially and
have a longer help-seeking delay, but then subsequently
have a relatively short referral delay as a consequence of
their contact with emergency services. As a result, they
would appear to have a similar overall DUP to comparison
groups, but the sub-components that comprise the DUP are
of different lengths. The findings from a previous study by
Harrison and colleagues support this [40], although this
study did not meet inclusion criteria for our review. The
investigators found no difference in the duration of untreated
illness between Black-Caribbean patients and the general
population, but did find that contact with services came later
for Black-Caribbean patients. However, once contact was
made, Black-Caribbean patients received psychiatric care
sooner than the general population [40].
It has also been suggested that White patients may be
more likely to be seen earlier in primary care, which may
delay contact with secondary services [15]. Indeed, prior
research suggests that individuals who are in contact with
primary care services have longer delays between first
contact and contact with specialized services [20, 34, 41],
whereas those who are in contact with emergency services
have shorter delays [20, 41]. Consequently, differences in
the propensity to utilize primary care or emergency ser-
vices may distort cross-group comparisons of the overall
DUP. A more detailed assessment of the determinants of
different components of DUP may be more informative for
determining whether differences exist and the potential
mechanisms behind such differences. This level of detail
Soc Psychiatry Psychiatr Epidemiol
123
may be required to inform the development of interven-
tions aimed at reducing treatment delay.
Limitations
Our findings should be interpreted in light of a number of
limitations. We were only able to identify ten studies that
reported data on race or ethnicity and DUP, despite the
large number of studies to date that have reported DUP
estimates or examined its determinants [1–4]. This raises
the question of publication bias, as studies may have
examined the association between DUP and race or eth-
nicity and failed to report negative findings. Additionally,
we were unable to obtain log-transformed data from three
of the studies, so the meta-analysis does not include the
totality of evidence on ethnic differences in DUP.
The quality assessment tool that we employed has not
been previously validated. The studies included in our
review used various tools to measure DUP, and the cross
cultural validity of these measures has not been previously
assessed. The included studies also did not typically report
estimates of reliability, which is necessary to ensure there
are not systematic differences in estimating the DUP across
groups [15]. Furthermore, the included studies varied with
respect to the way that DUP was operationalized, which is
a common problem across studies reporting DUP [42], and
the use of different start- or end-points for DUP could have
an impact on observed trends. The conclusions drawn from
these data should be interpreted in light of this heteroge-
neity in the outcome measure.
Research implications
In spite of these limitations to our review, we are able to
conclude that prior research on racial and ethnic differ-
ences in DUP has substantial methodological limitations.
Studies that are designed and powered to examine differ-
ences in treatment delay are needed to further our under-
standing of the challenges faced by patients with psychosis
when seeking help for a first-episode. Additionally, our
review highlights the need for consistent and routine data
collection across early intervention services to allow
comparability across different programs and health service
contexts. This would include the measurement of ethnicity
with minimal aggregation by racial group, as well as the
use of standardized and validated measurement tools for
DUP and pathways to care. However, the challenges
associated with establishing such a consensus are sub-
stantial, and have been discussed elsewhere in the literature
[5, 42–44].
Knowledge of the impact of both race and ethnicity on
treatment delay is crucial for the field of early psychosis for
a number of reasons. Firstly, the association between DUP
and adverse clinical and functional outcomes is well
known, and racial and ethnic differences in outcomes for
psychosis have also been previously documented, although
inconsistently across the literature [45]. If race or ethnicity
is related to DUP, then there are important implications for
its role as a confounding factor in the observed association
between DUP and outcome. Secondly, information on the
impact of race, ethnicity, and other determinants is crucial
for informing the development of interventions aimed at
reducing DUP and improving outcomes. Finally, as high-
income countries become more culturally varied and eth-
nically diverse, information on racial and ethnic differ-
ences in treatment delay is imperative to inform the
provision of culturally appropriate and equitable mental
health services.
Acknowledgments We are grateful to the authors of the included
studies who generously shared data and information to aid in the
completion of this review. We also appreciate the guidance provided
by the Biostatistics Consulting Unit at the Centre for Addiction and
Mental Health (CAMH). This study was funded by a Canadian
Institutes of Health Research (CIHR) Operating Grant (Grant
#220976). Kelly Anderson is supported by a Postdoctoral Fellowship
Award from CIHR. Craig Morgan is supported by funding from the
Medical Research Council (Ref: G0500817), Wellcome Trust (Grant
Number WT087417), and European Union (European Community’s
Seventh Framework Program (Grant Agreement No. HEALTH-F2-
2009-241909) (Project EU-GEI). The authors have no conflicts of
interest with respect to the publication of this manuscript.
Appendix: Terms used for Medline search strategy
[exp. Schizophrenia and Disorders with Psychotic Fea-
tures/OR
exp. Affective Disorders, Psychotic/OR
psychosis.mp OR
psychotic disorder$.mp OR
schizophreni$.mp OR
severe mental illness$.mp]
AND
[exp. Population Groups/OR
ethnic$.mp OR
visible minorit$.mp OR
ethno$.mp OR
immigra$.mp OR
migration.mp OR
afro$.mp OR
africa$.mp OR
caribbean.mp OR
black.mp OR
europ$.mp OR
white.mp]
AND
[exp. Time Factors/OR
duration of untreated psychosis.mp OR
Soc Psychiatry Psychiatr Epidemiol
123
duration of untreated illness.mp OR
DUP.mp OR
DUI.mp OR
treatment delay.mp OR
referral delay.mp OR
help-seeking delay.mp OR
early intervention.mp]
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